{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "db6c71b7-81aa-4e42-9220-503df800b6ed",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 1. 读取Taxi轨迹记录（data/TaxiData）\n",
    "#     * 按小时统计数据量\n",
    "#     * 绘制折线图\n",
    "# 2. 读取OD数据（data/TaxiOD.csv）\n",
    "#     * 按小时统计订单量，绘制折线图\n",
    "#     * 计算每笔订单持续时间，绘制24小时的订单箱线图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "60e3c1e9-e048-4a81-b10c-a3421027e7d2",
   "metadata": {
    "execution": {
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     "shell.execute_reply": "2021-05-29T02:36:43.936964Z",
     "shell.execute_reply.started": "2021-05-29T02:36:43.464935Z"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "7572aeaa-ad96-4173-a1e8-26ddbff23149",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-05-29T02:36:44.938902Z",
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     "shell.execute_reply": "2021-05-29T02:36:45.836009Z",
     "shell.execute_reply.started": "2021-05-29T02:36:44.938878Z"
    },
    "tags": []
   },
   "outputs": [
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       "      <th>Stime</th>\n",
       "      <th>Lng</th>\n",
       "      <th>Lat</th>\n",
       "      <th>Status</th>\n",
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       "   CarNum     Stime         Lng        Lat  Status  Speed\n",
       "0   22271  22:54:04  114.167000  22.718399       0      0\n",
       "1   22271  18:26:26  114.190598  22.647800       0      4\n",
       "2   22271  18:35:18  114.201401  22.649700       0      0\n",
       "3   22271  16:02:46  114.233498  22.725901       0     24\n",
       "4   22271  21:41:17  114.233597  22.720900       0     19"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 1. 读取Taxi轨迹记录（data/TaxiData）\n",
    "data = pd.read_csv(r\"../data/TaxiData\", header=None)\n",
    "data.columns = [\"CarNum\", \"Stime\", \"Lng\", \"Lat\", \"Status\", \"Speed\"]\n",
    "data.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "4e3a0943-c28d-44e0-8558-c1625006476e",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-05-29T02:36:57.364077Z",
     "iopub.status.busy": "2021-05-29T02:36:57.363849Z",
     "iopub.status.idle": "2021-05-29T02:36:57.833241Z",
     "shell.execute_reply": "2021-05-29T02:36:57.832726Z",
     "shell.execute_reply.started": "2021-05-29T02:36:57.364052Z"
    },
    "tags": []
   },
   "outputs": [
    {
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      "text/plain": [
       "0          22\n",
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       "4          21\n",
       "           ..\n",
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       "1601303    20\n",
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       "1601305    20\n",
       "1601306    20\n",
       "Name: Stime, Length: 1601307, dtype: object"
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     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 提取小时信息\n",
    "data[\"Stime\"].apply(lambda r: r.split(\":\")[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
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   "metadata": {
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      "text/plain": [
       "         CarNum     Stime         Lng        Lat  Status  Speed Hour\n",
       "0         22271  22:54:04  114.167000  22.718399       0      0   22\n",
       "1         22271  18:26:26  114.190598  22.647800       0      4   18\n",
       "2         22271  18:35:18  114.201401  22.649700       0      0   18\n",
       "3         22271  16:02:46  114.233498  22.725901       0     24   16\n",
       "4         22271  21:41:17  114.233597  22.720900       0     19   21\n",
       "...         ...       ...         ...        ...     ...    ...  ...\n",
       "1601302   23873  20:20:03  114.160149  22.606934       0      0   20\n",
       "1601303   23873  20:15:13  114.164551  22.605118       1     48   20\n",
       "1601304   23873  20:16:23  114.168015  22.606083       0      0   20\n",
       "1601305   23873  20:16:43  114.168015  22.606083       0      0   20\n",
       "1601306   23873  20:26:39  114.170647  22.604383       0      0   20\n",
       "\n",
       "[1601307 rows x 7 columns]"
      ]
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     "execution_count": 5,
     "metadata": {},
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   "source": [
    "data[\"Hour\"] = data[\"Stime\"].apply(lambda r: r.split(\":\")[0])\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "43a72826-41e7-45f8-92cf-128173089a42",
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       "      <th></th>\n",
       "      <th>Hour</th>\n",
       "      <th>count</th>\n",
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       "      <td>63780</td>\n",
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       "      <td>68224</td>\n",
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       "      <th>9</th>\n",
       "      <td>09</td>\n",
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       "      <th>10</th>\n",
       "      <td>10</td>\n",
       "      <td>69309</td>\n",
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       "      <th>11</th>\n",
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       "      <td>71286</td>\n",
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       "      <th>12</th>\n",
       "      <td>12</td>\n",
       "      <td>65876</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>13</td>\n",
       "      <td>69212</td>\n",
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       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>14</td>\n",
       "      <td>71510</td>\n",
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       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>15</td>\n",
       "      <td>70241</td>\n",
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       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>16</td>\n",
       "      <td>71798</td>\n",
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       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>17</td>\n",
       "      <td>70333</td>\n",
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       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>18</td>\n",
       "      <td>63514</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>19</td>\n",
       "      <td>74179</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>20</td>\n",
       "      <td>74938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>21</td>\n",
       "      <td>70069</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>22</td>\n",
       "      <td>71503</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>23</td>\n",
       "      <td>65010</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Hour  count\n",
       "0    00  68745\n",
       "1    01  63142\n",
       "2    02  60680\n",
       "3    03  57494\n",
       "4    04  57060\n",
       "5    05  59636\n",
       "6    06  59742\n",
       "7    07  63780\n",
       "8    08  68224\n",
       "9    09  64026\n",
       "10   10  69309\n",
       "11   11  71286\n",
       "12   12  65876\n",
       "13   13  69212\n",
       "14   14  71510\n",
       "15   15  70241\n",
       "16   16  71798\n",
       "17   17  70333\n",
       "18   18  63514\n",
       "19   19  74179\n",
       "20   20  74938\n",
       "21   21  70069\n",
       "22   22  71503\n",
       "23   23  65010"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 按小时统计数据量\n",
    "data.groupby(\"Hour\")[\"CarNum\"].count().rename(\"count\").reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
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     "shell.execute_reply": "2021-05-29T02:37:15.188588Z",
     "shell.execute_reply.started": "2021-05-29T02:37:15.080214Z"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "hourlyVolume = data.groupby(\"Hour\")[\"CarNum\"].count().rename(\"count\").reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "d81af502-1546-4a14-a00f-b87c5e7e1518",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-05-29T02:37:16.930078Z",
     "iopub.status.busy": "2021-05-29T02:37:16.929840Z",
     "iopub.status.idle": "2021-05-29T02:37:17.483471Z",
     "shell.execute_reply": "2021-05-29T02:37:17.482699Z",
     "shell.execute_reply.started": "2021-05-29T02:37:16.930054Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 2500x2000 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 绘制折线图\n",
    "fig = plt.figure(1, (10, 8), dpi=250)\n",
    "ax = plt.subplot(111)\n",
    "plt.sca(ax)\n",
    "\n",
    "plt.plot(hourlyVolume[\"Hour\"], hourlyVolume[\"count\"], \"k.-\")\n",
    "plt.bar(hourlyVolume[\"Hour\"], hourlyVolume[\"count\"], width=0.5)\n",
    "plt.title(\"Hourly Taxi Data Volume\")\n",
    "plt.ylim(0, 80000)\n",
    "plt.xlabel(\"Hour\")\n",
    "plt.ylabel(\"Data Volume\")\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "9a35267e-4e5e-48d5-b193-f9c435813dc2",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-05-29T02:40:12.836273Z",
     "iopub.status.busy": "2021-05-29T02:40:12.835909Z",
     "iopub.status.idle": "2021-05-29T02:40:14.087951Z",
     "shell.execute_reply": "2021-05-29T02:40:14.087495Z",
     "shell.execute_reply.started": "2021-05-29T02:40:12.836243Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2500x2000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "\n",
    "sns.set_style(\"darkgrid\", {\"xtick.major.size\": 10, \"ytick.major.size\": 10})\n",
    "\n",
    "fig = plt.figure(1, (10, 8), dpi=250)\n",
    "ax = plt.subplot(111)\n",
    "plt.sca(ax)\n",
    "\n",
    "plt.plot(hourlyVolume[\"Hour\"], hourlyVolume[\"count\"], \"k.-\")\n",
    "plt.bar(hourlyVolume[\"Hour\"], hourlyVolume[\"count\"], width=0.5)\n",
    "plt.title(\"Hourly Taxi Data Volume\")\n",
    "plt.ylim(0, 80000)\n",
    "plt.xlabel(\"Hour\")\n",
    "plt.ylabel(\"Data Volume\")\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "9c37744a-40f8-4f03-8a96-c7fb921a006c",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-05-29T02:46:39.942536Z",
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     "iopub.status.idle": "2021-05-29T02:46:40.556973Z",
     "shell.execute_reply": "2021-05-29T02:46:40.556360Z",
     "shell.execute_reply.started": "2021-05-29T02:46:39.942511Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>VehicleNum</th>\n",
       "      <th>Stime</th>\n",
       "      <th>SLng</th>\n",
       "      <th>SLat</th>\n",
       "      <th>ELng</th>\n",
       "      <th>ELat</th>\n",
       "      <th>Etime</th>\n",
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       "      <td>00:03:23</td>\n",
       "      <td>114.167465</td>\n",
       "      <td>22.562468</td>\n",
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       "      <td>22.552750</td>\n",
       "      <td>00:10:48</td>\n",
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       "      <th>1</th>\n",
       "      <td>22223</td>\n",
       "      <td>00:11:33</td>\n",
       "      <td>114.227150</td>\n",
       "      <td>22.554167</td>\n",
       "      <td>114.229218</td>\n",
       "      <td>22.560217</td>\n",
       "      <td>00:15:19</td>\n",
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       "      <th>2</th>\n",
       "      <td>22223</td>\n",
       "      <td>00:17:13</td>\n",
       "      <td>114.231354</td>\n",
       "      <td>22.562166</td>\n",
       "      <td>114.255798</td>\n",
       "      <td>22.590967</td>\n",
       "      <td>00:29:06</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>22223</td>\n",
       "      <td>00:36:45</td>\n",
       "      <td>114.240196</td>\n",
       "      <td>22.563650</td>\n",
       "      <td>114.119965</td>\n",
       "      <td>22.566668</td>\n",
       "      <td>00:54:42</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>22223</td>\n",
       "      <td>01:01:14</td>\n",
       "      <td>114.135414</td>\n",
       "      <td>22.575933</td>\n",
       "      <td>114.166748</td>\n",
       "      <td>22.608267</td>\n",
       "      <td>01:08:17</td>\n",
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       "    <tr>\n",
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       "      <th>464713</th>\n",
       "      <td>36947</td>\n",
       "      <td>22:39:12</td>\n",
       "      <td>114.005547</td>\n",
       "      <td>22.548067</td>\n",
       "      <td>113.996330</td>\n",
       "      <td>22.537083</td>\n",
       "      <td>22:46:25</td>\n",
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       "    <tr>\n",
       "      <th>464714</th>\n",
       "      <td>36947</td>\n",
       "      <td>22:49:38</td>\n",
       "      <td>113.994598</td>\n",
       "      <td>22.535049</td>\n",
       "      <td>113.922485</td>\n",
       "      <td>22.496550</td>\n",
       "      <td>23:13:15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>464715</th>\n",
       "      <td>36947</td>\n",
       "      <td>23:24:24</td>\n",
       "      <td>113.921082</td>\n",
       "      <td>22.513483</td>\n",
       "      <td>113.929817</td>\n",
       "      <td>22.494217</td>\n",
       "      <td>23:30:32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>464716</th>\n",
       "      <td>36947</td>\n",
       "      <td>23:37:09</td>\n",
       "      <td>113.927635</td>\n",
       "      <td>22.512568</td>\n",
       "      <td>113.910965</td>\n",
       "      <td>22.487867</td>\n",
       "      <td>23:49:10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>464717</th>\n",
       "      <td>36947</td>\n",
       "      <td>23:52:18</td>\n",
       "      <td>113.910500</td>\n",
       "      <td>22.487583</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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      "text/plain": [
       "        VehicleNum     Stime        SLng       SLat        ELng       ELat  \\\n",
       "0            22223  00:03:23  114.167465  22.562468  114.225235  22.552750   \n",
       "1            22223  00:11:33  114.227150  22.554167  114.229218  22.560217   \n",
       "2            22223  00:17:13  114.231354  22.562166  114.255798  22.590967   \n",
       "3            22223  00:36:45  114.240196  22.563650  114.119965  22.566668   \n",
       "4            22223  01:01:14  114.135414  22.575933  114.166748  22.608267   \n",
       "...            ...       ...         ...        ...         ...        ...   \n",
       "464713       36947  22:39:12  114.005547  22.548067  113.996330  22.537083   \n",
       "464714       36947  22:49:38  113.994598  22.535049  113.922485  22.496550   \n",
       "464715       36947  23:24:24  113.921082  22.513483  113.929817  22.494217   \n",
       "464716       36947  23:37:09  113.927635  22.512568  113.910965  22.487867   \n",
       "464717       36947  23:52:18  113.910500  22.487583         NaN        NaN   \n",
       "\n",
       "           Etime  \n",
       "0       00:10:48  \n",
       "1       00:15:19  \n",
       "2       00:29:06  \n",
       "3       00:54:42  \n",
       "4       01:08:17  \n",
       "...          ...  \n",
       "464713  22:46:25  \n",
       "464714  23:13:15  \n",
       "464715  23:30:32  \n",
       "464716  23:49:10  \n",
       "464717       NaN  \n",
       "\n",
       "[464718 rows x 7 columns]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 2. 读取OD数据（data/TaxiOD.csv）\n",
    "od = pd.read_csv(r\"../data/TaxiOD.csv\")\n",
    "od"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "b4bc1d14-8bd0-4d36-b4d0-a3d6e45993e9",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-05-29T02:46:45.032285Z",
     "iopub.status.busy": "2021-05-29T02:46:45.032025Z",
     "iopub.status.idle": "2021-05-29T02:46:45.078212Z",
     "shell.execute_reply": "2021-05-29T02:46:45.077574Z",
     "shell.execute_reply.started": "2021-05-29T02:46:45.032221Z"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "od = od[-od[\"ELng\"].isnull()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "39b5d345-a9d6-4925-920e-0f8c6348919f",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-05-29T06:11:30.976232Z",
     "iopub.status.busy": "2021-05-29T06:11:30.976002Z",
     "iopub.status.idle": "2021-05-29T06:11:32.020908Z",
     "shell.execute_reply": "2021-05-29T06:11:32.020335Z",
     "shell.execute_reply.started": "2021-05-29T06:11:30.976210Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
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       "\n",
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>VehicleNum</th>\n",
       "      <th>Stime</th>\n",
       "      <th>SLng</th>\n",
       "      <th>SLat</th>\n",
       "      <th>ELng</th>\n",
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       "  <tbody>\n",
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       "      <th>0</th>\n",
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       "      <td>22223</td>\n",
       "      <td>00:11:33</td>\n",
       "      <td>114.227150</td>\n",
       "      <td>22.554167</td>\n",
       "      <td>114.229218</td>\n",
       "      <td>22.560217</td>\n",
       "      <td>00:15:19</td>\n",
       "      <td>919</td>\n",
       "      <td>693</td>\n",
       "      <td>226</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>22223</td>\n",
       "      <td>00:17:13</td>\n",
       "      <td>114.231354</td>\n",
       "      <td>22.562166</td>\n",
       "      <td>114.255798</td>\n",
       "      <td>22.590967</td>\n",
       "      <td>00:29:06</td>\n",
       "      <td>1746</td>\n",
       "      <td>1033</td>\n",
       "      <td>713</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>22223</td>\n",
       "      <td>00:36:45</td>\n",
       "      <td>114.240196</td>\n",
       "      <td>22.563650</td>\n",
       "      <td>114.119965</td>\n",
       "      <td>22.566668</td>\n",
       "      <td>00:54:42</td>\n",
       "      <td>3282</td>\n",
       "      <td>2205</td>\n",
       "      <td>1077</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>22223</td>\n",
       "      <td>01:01:14</td>\n",
       "      <td>114.135414</td>\n",
       "      <td>22.575933</td>\n",
       "      <td>114.166748</td>\n",
       "      <td>22.608267</td>\n",
       "      <td>01:08:17</td>\n",
       "      <td>4097</td>\n",
       "      <td>3674</td>\n",
       "      <td>423</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>464712</th>\n",
       "      <td>36947</td>\n",
       "      <td>22:08:22</td>\n",
       "      <td>113.913734</td>\n",
       "      <td>22.531366</td>\n",
       "      <td>113.997284</td>\n",
       "      <td>22.545650</td>\n",
       "      <td>22:36:53</td>\n",
       "      <td>81413</td>\n",
       "      <td>79702</td>\n",
       "      <td>1711</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>464713</th>\n",
       "      <td>36947</td>\n",
       "      <td>22:39:12</td>\n",
       "      <td>114.005547</td>\n",
       "      <td>22.548067</td>\n",
       "      <td>113.996330</td>\n",
       "      <td>22.537083</td>\n",
       "      <td>22:46:25</td>\n",
       "      <td>81985</td>\n",
       "      <td>81552</td>\n",
       "      <td>433</td>\n",
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       "    <tr>\n",
       "      <th>464714</th>\n",
       "      <td>36947</td>\n",
       "      <td>22:49:38</td>\n",
       "      <td>113.994598</td>\n",
       "      <td>22.535049</td>\n",
       "      <td>113.922485</td>\n",
       "      <td>22.496550</td>\n",
       "      <td>23:13:15</td>\n",
       "      <td>83595</td>\n",
       "      <td>82178</td>\n",
       "      <td>1417</td>\n",
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       "    <tr>\n",
       "      <th>464715</th>\n",
       "      <td>36947</td>\n",
       "      <td>23:24:24</td>\n",
       "      <td>113.921082</td>\n",
       "      <td>22.513483</td>\n",
       "      <td>113.929817</td>\n",
       "      <td>22.494217</td>\n",
       "      <td>23:30:32</td>\n",
       "      <td>84632</td>\n",
       "      <td>84264</td>\n",
       "      <td>368</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>464716</th>\n",
       "      <td>36947</td>\n",
       "      <td>23:37:09</td>\n",
       "      <td>113.927635</td>\n",
       "      <td>22.512568</td>\n",
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       "      <td>22.487867</td>\n",
       "      <td>23:49:10</td>\n",
       "      <td>85750</td>\n",
       "      <td>85029</td>\n",
       "      <td>721</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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       "<p>464717 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        VehicleNum     Stime        SLng       SLat        ELng       ELat  \\\n",
       "0            22223  00:03:23  114.167465  22.562468  114.225235  22.552750   \n",
       "1            22223  00:11:33  114.227150  22.554167  114.229218  22.560217   \n",
       "2            22223  00:17:13  114.231354  22.562166  114.255798  22.590967   \n",
       "3            22223  00:36:45  114.240196  22.563650  114.119965  22.566668   \n",
       "4            22223  01:01:14  114.135414  22.575933  114.166748  22.608267   \n",
       "...            ...       ...         ...        ...         ...        ...   \n",
       "464712       36947  22:08:22  113.913734  22.531366  113.997284  22.545650   \n",
       "464713       36947  22:39:12  114.005547  22.548067  113.996330  22.537083   \n",
       "464714       36947  22:49:38  113.994598  22.535049  113.922485  22.496550   \n",
       "464715       36947  23:24:24  113.921082  22.513483  113.929817  22.494217   \n",
       "464716       36947  23:37:09  113.927635  22.512568  113.910965  22.487867   \n",
       "\n",
       "           Etime  Etime_st  Stime_st  Duration  \n",
       "0       00:10:48       648       203       445  \n",
       "1       00:15:19       919       693       226  \n",
       "2       00:29:06      1746      1033       713  \n",
       "3       00:54:42      3282      2205      1077  \n",
       "4       01:08:17      4097      3674       423  \n",
       "...          ...       ...       ...       ...  \n",
       "464712  22:36:53     81413     79702      1711  \n",
       "464713  22:46:25     81985     81552       433  \n",
       "464714  23:13:15     83595     82178      1417  \n",
       "464715  23:30:32     84632     84264       368  \n",
       "464716  23:49:10     85750     85029       721  \n",
       "\n",
       "[464717 rows x 10 columns]"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "od[\"Etime_st\"] = od[\"Etime\"].apply(\n",
    "    lambda r: int(r.split(\":\")[0]) * 3600\n",
    "    + int(r.split(\":\")[1]) * 60\n",
    "    + int(r.split(\":\")[2])\n",
    ")\n",
    "od[\"Stime_st\"] = od[\"Stime\"].apply(\n",
    "    lambda r: int(r.split(\":\")[0]) * 3600\n",
    "    + int(r.split(\":\")[1]) * 60\n",
    "    + int(r.split(\":\")[2])\n",
    ")\n",
    "od[\"Duration\"] = od[\"Etime_st\"] - od[\"Stime_st\"]\n",
    "od"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "3de933cc-2452-41e6-b92e-213e370b4474",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-05-29T06:11:48.028618Z",
     "iopub.status.busy": "2021-05-29T06:11:48.028351Z",
     "iopub.status.idle": "2021-05-29T06:11:48.290482Z",
     "shell.execute_reply": "2021-05-29T06:11:48.289479Z",
     "shell.execute_reply.started": "2021-05-29T06:11:48.028594Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1750x750 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 绘制订单时间箱线图\n",
    "fig = plt.figure(1, (7, 3), dpi=250)\n",
    "ax = plt.subplot(111)\n",
    "plt.sca(ax)\n",
    "\n",
    "plt.boxplot(od[\"Duration\"] / 60)\n",
    "plt.ylabel(\"Minutes\")\n",
    "plt.xlabel(\"Order time\")\n",
    "plt.ylim(0, 60)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "id": "631858fa-3ff3-42fc-8006-953e27694d39",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-05-29T06:26:54.553235Z",
     "iopub.status.busy": "2021-05-29T06:26:54.553007Z",
     "iopub.status.idle": "2021-05-29T06:26:54.833522Z",
     "shell.execute_reply": "2021-05-29T06:26:54.832884Z",
     "shell.execute_reply.started": "2021-05-29T06:26:54.553212Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>VehicleNum</th>\n",
       "      <th>Stime</th>\n",
       "      <th>SLng</th>\n",
       "      <th>SLat</th>\n",
       "      <th>ELng</th>\n",
       "      <th>ELat</th>\n",
       "      <th>Etime</th>\n",
       "      <th>Etime_st</th>\n",
       "      <th>Stime_st</th>\n",
       "      <th>Duration</th>\n",
       "      <th>Hour</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>22223</td>\n",
       "      <td>00:03:23</td>\n",
       "      <td>114.167465</td>\n",
       "      <td>22.562468</td>\n",
       "      <td>114.225235</td>\n",
       "      <td>22.552750</td>\n",
       "      <td>00:10:48</td>\n",
       "      <td>648</td>\n",
       "      <td>203</td>\n",
       "      <td>445</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>22223</td>\n",
       "      <td>00:11:33</td>\n",
       "      <td>114.227150</td>\n",
       "      <td>22.554167</td>\n",
       "      <td>114.229218</td>\n",
       "      <td>22.560217</td>\n",
       "      <td>00:15:19</td>\n",
       "      <td>919</td>\n",
       "      <td>693</td>\n",
       "      <td>226</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>22223</td>\n",
       "      <td>00:17:13</td>\n",
       "      <td>114.231354</td>\n",
       "      <td>22.562166</td>\n",
       "      <td>114.255798</td>\n",
       "      <td>22.590967</td>\n",
       "      <td>00:29:06</td>\n",
       "      <td>1746</td>\n",
       "      <td>1033</td>\n",
       "      <td>713</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>22223</td>\n",
       "      <td>00:36:45</td>\n",
       "      <td>114.240196</td>\n",
       "      <td>22.563650</td>\n",
       "      <td>114.119965</td>\n",
       "      <td>22.566668</td>\n",
       "      <td>00:54:42</td>\n",
       "      <td>3282</td>\n",
       "      <td>2205</td>\n",
       "      <td>1077</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>22223</td>\n",
       "      <td>01:01:14</td>\n",
       "      <td>114.135414</td>\n",
       "      <td>22.575933</td>\n",
       "      <td>114.166748</td>\n",
       "      <td>22.608267</td>\n",
       "      <td>01:08:17</td>\n",
       "      <td>4097</td>\n",
       "      <td>3674</td>\n",
       "      <td>423</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>464712</th>\n",
       "      <td>36947</td>\n",
       "      <td>22:08:22</td>\n",
       "      <td>113.913734</td>\n",
       "      <td>22.531366</td>\n",
       "      <td>113.997284</td>\n",
       "      <td>22.545650</td>\n",
       "      <td>22:36:53</td>\n",
       "      <td>81413</td>\n",
       "      <td>79702</td>\n",
       "      <td>1711</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>464713</th>\n",
       "      <td>36947</td>\n",
       "      <td>22:39:12</td>\n",
       "      <td>114.005547</td>\n",
       "      <td>22.548067</td>\n",
       "      <td>113.996330</td>\n",
       "      <td>22.537083</td>\n",
       "      <td>22:46:25</td>\n",
       "      <td>81985</td>\n",
       "      <td>81552</td>\n",
       "      <td>433</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>464714</th>\n",
       "      <td>36947</td>\n",
       "      <td>22:49:38</td>\n",
       "      <td>113.994598</td>\n",
       "      <td>22.535049</td>\n",
       "      <td>113.922485</td>\n",
       "      <td>22.496550</td>\n",
       "      <td>23:13:15</td>\n",
       "      <td>83595</td>\n",
       "      <td>82178</td>\n",
       "      <td>1417</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>464715</th>\n",
       "      <td>36947</td>\n",
       "      <td>23:24:24</td>\n",
       "      <td>113.921082</td>\n",
       "      <td>22.513483</td>\n",
       "      <td>113.929817</td>\n",
       "      <td>22.494217</td>\n",
       "      <td>23:30:32</td>\n",
       "      <td>84632</td>\n",
       "      <td>84264</td>\n",
       "      <td>368</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>464716</th>\n",
       "      <td>36947</td>\n",
       "      <td>23:37:09</td>\n",
       "      <td>113.927635</td>\n",
       "      <td>22.512568</td>\n",
       "      <td>113.910965</td>\n",
       "      <td>22.487867</td>\n",
       "      <td>23:49:10</td>\n",
       "      <td>85750</td>\n",
       "      <td>85029</td>\n",
       "      <td>721</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>464717 rows × 11 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        VehicleNum     Stime        SLng       SLat        ELng       ELat  \\\n",
       "0            22223  00:03:23  114.167465  22.562468  114.225235  22.552750   \n",
       "1            22223  00:11:33  114.227150  22.554167  114.229218  22.560217   \n",
       "2            22223  00:17:13  114.231354  22.562166  114.255798  22.590967   \n",
       "3            22223  00:36:45  114.240196  22.563650  114.119965  22.566668   \n",
       "4            22223  01:01:14  114.135414  22.575933  114.166748  22.608267   \n",
       "...            ...       ...         ...        ...         ...        ...   \n",
       "464712       36947  22:08:22  113.913734  22.531366  113.997284  22.545650   \n",
       "464713       36947  22:39:12  114.005547  22.548067  113.996330  22.537083   \n",
       "464714       36947  22:49:38  113.994598  22.535049  113.922485  22.496550   \n",
       "464715       36947  23:24:24  113.921082  22.513483  113.929817  22.494217   \n",
       "464716       36947  23:37:09  113.927635  22.512568  113.910965  22.487867   \n",
       "\n",
       "           Etime  Etime_st  Stime_st  Duration  Hour  \n",
       "0       00:10:48       648       203       445     0  \n",
       "1       00:15:19       919       693       226     0  \n",
       "2       00:29:06      1746      1033       713     0  \n",
       "3       00:54:42      3282      2205      1077     0  \n",
       "4       01:08:17      4097      3674       423     1  \n",
       "...          ...       ...       ...       ...   ...  \n",
       "464712  22:36:53     81413     79702      1711    22  \n",
       "464713  22:46:25     81985     81552       433    22  \n",
       "464714  23:13:15     83595     82178      1417    22  \n",
       "464715  23:30:32     84632     84264       368    23  \n",
       "464716  23:49:10     85750     85029       721    23  \n",
       "\n",
       "[464717 rows x 11 columns]"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "od[\"Hour\"] = od[\"Stime\"].apply(lambda r:int(r.split(\":\")[0]))\n",
    "od"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "id": "2602bd2f-e2c8-47f0-86ea-4d587d967234",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-05-29T06:27:18.986185Z",
     "iopub.status.busy": "2021-05-29T06:27:18.985966Z",
     "iopub.status.idle": "2021-05-29T06:27:19.123366Z",
     "shell.execute_reply": "2021-05-29T06:27:19.122537Z",
     "shell.execute_reply.started": "2021-05-29T06:27:18.986161Z"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "hourlyData = []\n",
    "for hour in range(24):\n",
    "    hourlyData.append(od[od[\"Hour\"]==hour][\"Duration\"]/60)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "id": "7ab55fe7-e628-40a8-be98-cbbcbd3c6bfb",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-05-29T06:31:29.427334Z",
     "iopub.status.busy": "2021-05-29T06:31:29.427119Z",
     "iopub.status.idle": "2021-05-29T06:31:29.940657Z",
     "shell.execute_reply": "2021-05-29T06:31:29.940051Z",
     "shell.execute_reply.started": "2021-05-29T06:31:29.427312Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<Figure size 1750x750 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 绘制24小时的箱线图\n",
    "fig = plt.figure(1, (7, 3), dpi=250)\n",
    "ax = plt.subplot(111)\n",
    "plt.sca(ax)\n",
    "\n",
    "plt.boxplot(hourlyData)\n",
    "plt.ylabel(\"Minutes\")\n",
    "plt.xlabel(\"Order time\")\n",
    "plt.ylim(0, 60)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "id": "c0b67d5b-335a-45fa-b9f4-68bb0ff54f2a",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-05-29T06:37:52.878091Z",
     "iopub.status.busy": "2021-05-29T06:37:52.877708Z",
     "iopub.status.idle": "2021-05-29T06:37:53.758255Z",
     "shell.execute_reply": "2021-05-29T06:37:53.757412Z",
     "shell.execute_reply.started": "2021-05-29T06:37:52.878061Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2500x1250 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 使用seaborn绘制箱线图\n",
    "fig = plt.figure(1, (10, 5), dpi=250)\n",
    "ax = plt.subplot(111)\n",
    "plt.sca(ax)\n",
    "\n",
    "sns.boxplot(x=od[\"Hour\"],y=od[\"Duration\"]/60, data=od, ax=ax)\n",
    "\n",
    "plt.ylim(0,60)\n",
    "plt.ylabel(\"Minutes\")\n",
    "plt.xlabel(\"Hour\")\n",
    "\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
